Student Information
Graduate StudentComputer Science
Ira A Fulton Engineering
Sehastrajit Selvachandran is a Master’s student in Computer Science at Arizona State University with a strong focus on Artificial Intelligence and Machine Learning systems. His work centers on designing scalable, production-grade ML solutions that bridge research innovation and real-world deployment.
His interests include large language models, memory-augmented transformers, computer vision, and distributed data pipelines. He has built end-to-end AI systems ranging from GPT-style conversational models to county-scale geospatial detection pipelines using foundation models and cloud-native infrastructure.
Sehas has contributed to peer-reviewed research in medical AI and is particularly interested in developing efficient, reliable AI systems that operate at scale.
M.S. Computer Science, Arizona State University, 2027
B.Tech. Computer Science (AI & ML Specialization), Vellore Institute of Technology, 2025
- “Pipelined structure in the classification of skin lesions based on alexnet CNN and SVM model with bi-sectional texture features” IEEE Access, 2024.
- “The estimation of statistical features from VMD levels for automated sleep apnoea classification,” International Journal of Bioinformatics Research and Applications, 2024.
- “Comparative performance of deep learning architectures in classification of diabetic retinopathy,” International Journal of Ad Hoc and Ubiquitous Computing, 2023.
- “An insight on recent advancements and future perspectives in detection techniques of Parkinson’s disease,” Evolutionary Intelligence, 2023.